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Annotation Math Jobs in Garden Grove, CA (NOW HIRING)

Annotation Math information

See Garden Grove, CA salary details

$22.8K

$59.6K

$95.7K

How much do annotation math jobs pay per year?

As of Aug 15, 2026, the average yearly pay for annotation math in Garden Grove, CA is $59,582.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,600.00 and $70,900.00 per year, depending on experience, location, and employer.

What is the difference between Annotation Math vs Data Annotator?

AspectAnnotation MathData Annotator
Required CredentialsBasic education, sometimes specialized training in annotation toolsHigh school diploma or equivalent, on-the-job training
Work EnvironmentData labeling teams, tech companies, remote or onsiteData labeling teams, tech companies, remote or onsite
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Common Search IntentUnderstanding roles related to data annotation and mathComparing data annotation jobs

Annotation Math and Data Annotator roles both involve data labeling within AI and machine learning industries. Annotation Math may focus more on mathematical annotations, while Data Annotator generally covers broader data labeling tasks. Both roles often share similar work environments and required skills, making them closely related in the data annotation field.

What is an annotation math job?

Annotation Math jobs involve labeling, tagging, and categorizing mathematical data, such as equations, formulas, graphs, or written math problems, to create high-quality datasets. These annotated datasets are often used to train artificial intelligence (AI) and machine learning models to recognize and process mathematical content accurately. Annotation Math professionals need a strong understanding of mathematics, attention to detail, and familiarity with annotation tools or platforms. This work is critical for improving technologies like automated math solvers, educational apps, and document digitization.

What are the key skills and qualifications needed to thrive as an annotation math specialist, and why are they important?

To thrive as an Annotation Math Specialist, you need a solid understanding of mathematics, attention to detail, and familiarity with educational or assessment standards, often supported by a relevant degree. Proficiency with annotation tools, data labeling platforms, and sometimes LaTeX or similar mathematical typesetting systems is typically required. Strong analytical thinking, communication, and the ability to work independently are essential soft skills for accuracy and consistency. These skills and qualities are crucial to ensure high-quality, precise annotations that support machine learning, educational resources, or assessment development.

What are some common challenges faced by professionals in annotation math roles, and how can they be addressed?

Professionals in Annotation Math roles often encounter challenges such as interpreting ambiguous mathematical data, maintaining consistency in labeling complex equations, and managing repetitive tasks that require high attention to detail. Addressing these challenges involves following clear annotation guidelines, collaborating with team members to resolve uncertainties, and utilizing quality assurance tools to minimize errors. Regular feedback sessions and ongoing training also help ensure accuracy and support professional growth in this specialized field.

What job categories do people searching Annotation Math jobs in Garden Grove, CA look for?

The top searched job categories for Annotation Math jobs in Garden Grove, CA are:

What cities near Garden Grove, CA are hiring for Annotation Math jobs?

Cities near Garden Grove, CA with the most Annotation Math job openings:

Senior Staff AI/ML Algorithm Engineer

Becton, Dickinson and Company

Irvine, CA • On-site

$112K - $154K/yr

Full-time

Posted 17 days ago


BD rating

7.3

Company rating: 7.3 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

308th of 489 rated machine equipment manufacturers


Job description

We are the people who give possibilities purpose
BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it's no small feat. It takes the imagination and passion of all of us-from design and engineering to the manufacturing and marketing of our billions of MedTech products per year-to look at the impossible and find transformative solutions that turn dreams into possibilities.
Job Description
We are seeking a highly experienced Senior Staff AI/ML Algorithm Engineer to help advance next-generation medical technologies for continuous physiological monitoring, disease detection, and predictive clinical decision support.
In this role, you will develop clinically meaningful algorithms using multi-modal healthcare data, including physiological sensor signals, medical device data, electronic health records, imaging data, and other real-world clinical datasets. You will work in a highly cross-functional environment with algorithm engineers, data scientists, clinicians, systems engineers, software teams, regulatory specialists, and product leaders to translate complex clinical and physiological problems into validated, deployable algorithmic solutions.
This is a senior technical role suited for an engineer with deep expertise in classical machine learning, modern AI/deep learning, physiological signal interpretation, and real-world deployment across both cloud-based platforms and edge medical devices.
Key Responsibilities
  • Lead the design, development, validation and deployment of AI/ML algorithms for continuous physiological monitoring, novel vital sign and physiological parameter development, disease detection and risk stratification and early warning systems.
  • Develop algorithms using multi-modal data sources, including physiological waveforms and time-series data such as PPG, blood pressure, capnography and other monitoring signals, bedside and wearable sensor data, electronic health records and structured clinical data, etc.
  • Apply advanced analytical approaches, including:
  • Classical machine learning models
  • Statistical modeling and probabilistic inference
  • Time-series modeling
  • Signal processing and feature engineering
  • Deep learning architectures
  • Multimodal AI models
  • Transformer-based models and foundation-model approaches where appropriate
  • Translate clinical and physiological understanding into robust algorithm design, including feature selection, model architecture, performance targets, and clinically interpretable outputs.
  • Build end-to-end algorithm development pipelines for data ingestion, signal quality assessment, annotation, feature extraction, model training, validation, robustness testing, and post-market performance monitoring where applicable.
  • Partner with clinical, medical affairs, regulatory, quality, and product teams to ensure algorithms are developed with appropriate clinical context, usability, safety, and regulatory considerations.
  • Develop and optimize algorithms for cloud environments and for edge or embedded medical devices, accounting for latency, memory, compute, power, cybersecurity, and reliability constraints.
  • Support verification, validation, documentation, risk analysis, and design controls for regulated medical technology products.
  • Contribute to intellectual property generation, technical strategy, research roadmaps, and external scientific engagement.
  • Mentor engineers and data scientists, provide technical leadership, and help establish best practices for healthcare AI algorithm development.

Required Qualifications
  • 10+ years of industry experience in AI/ML, algorithm development, biomedical signal processing, healthcare analytics, medical devices, or related technical areas.
  • Master's or PhD degree preferred in Electrical Engineering, Biomedical Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Computational Biology, or a related engineering or quantitative field.
  • Deep expertise in machine learning and AI model development, including both classical and modern approaches.
  • Strong hands-on experience with physiological time-series data, biomedical signals, medical device data, or clinical datasets.
  • Solid understanding of human physiology, especially as it relates to patient monitoring, cardiopulmonary function, hemodynamics, respiratory status, neurological monitoring, or acute care settings.
  • Demonstrated experience developing algorithms from early feasibility through productization or deployment.
  • Experience working with multi-modal healthcare data, such as sensor signals, EHR data, imaging data, lab data, and clinical outcomes.
  • Strong programming skills in Python and experience with ML/AI frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent tools.
  • Experience with cloud-based algorithm development and deployment using platforms such as Azure, AWS, or GCP.
  • Experience optimizing models for deployment on constrained environments, including embedded systems, edge devices, or near-real-time medical technology platforms.
  • Strong understanding of model evaluation, including sensitivity, specificity, AUROC, calibration, false alarm burden, clinical utility, robustness, and generalizability.
  • Excellent communication skills with the ability to explain complex technical concepts to engineering, clinical, regulatory, and business stakeholders.

Preferred Qualifications
  • Experience developing AI/ML algorithms for regulated medical devices, digital health products, clinical decision support tools, or Software as a Medical Device (SaMD).
  • Familiarity with medical device development practices, including design controls, risk management, verification and validation, human factors, clinical performance evaluation, and regulatory documentation.
  • Experience with relevant standards and regulatory frameworks such as FDA expectations for AI/ML-enabled medical devices.
  • Experience with signal quality assessment, artifact detection, missing-data handling, sensor fusion, uncertainty quantification, and explainable AI.
  • Familiarity with MLOps, model lifecycle management, version control, data governance, automated testing, and post-deployment monitoring.

At BD, we prioritize on-site collaboration because we believe it fosters creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting.
For certain roles at BD, employment is contingent upon the Company's receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required. Consistent with BD's Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law.
Why Join Us?
To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of healthcare. At BD, you'll discover a culture in which you can learn, grow and thrive.
We believe that when people connect in person, we learn faster, collaborate more deeply, and build a stronger culture. Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress, and your success.
To learn more about BD visit https://bd.com/careers.
Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally protected characteristics.
Required Skills
Optional Skills
Primary Work Location
USA CA - Irvine Laguna Canyon
Additional Locations
Work Shift
At BD, we reward, support and develop our associates through our comprehensive Total Rewards program. We are committed to attracting and retaining high quality talent by providing reward and recognition opportunities that promote a performance-based culture, as well as a competitive package of compensation and benefits programs. You can learn more on our career site under "Our Commitment to You."
Our salary or hourly rate ranges reward associates fairly and competitively. We regularly review these ranges and factors, such as location, contribute to the range displayed.
Our pay is based on the role and the necessary skills and education to perform it successfully. The salary or hourly rate offered is determined by the role's specific requirements, including any applicable step rate pay system at the work location. Salary or hourly pay ranges are influenced by labor laws and Collective Bargaining Agreement (CBA) requirements applicable to the work location which may also affect the workplace arrangement of the role.
Salary Range Information
$146,000.00 - $233,600.00 USD Annual

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About BD

Sourced by ZipRecruiter

BD is one of the largest global medical technology companies in the world and is advancing the world of health by improving medical discovery, diagnostics and the delivery of care. We have over 65,000 employees and a presence in virtually every country around the world to address some of the most challenging global health issues.

Industry

Medical equipment and supplies manufacturing and manufacturing

Company size

10,000+ Employees

Headquarters location

Franklin Lakes, NJ, US

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